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Director - Analytics

1 month ago

Bengaluru, India LEAD School Full time

Job Title: Director - Analytics

Location: Bangalore

Prior Experience: ~8 years


About LEAD

LEAD is India's largest School EdTech Unicorn on a mission of transforming schools to build a Confident India.

LEAD partners with affordable schools across the country and visibly improves the students' learning outcomes, operations, and enrolments. We aim to empower India by making an excellent education affordable and accessible to every child.


We currently serve:

~ 3,000 schools

~ 10,00,000 students

~ 30,000 teachers

Across 20+ states and 400+ cities


Role Description

As a Director of Analytics and Data Science at LEAD School, you will be responsible for leading the development and implementation of data-driven strategies and solutions across the organization with a team of around 10-15 team members. You will work closely with cross-functional teams, including engineering, product management, school leadership, and business operations to drive the growth and success of LEAD School. You will report to the Chief Product Officer.


Roles and responsibilities


1/ Custodian of truth about business performance:

i/ Build tools and products that eliminate the need for data in Excel sheets in the organization - all data, analysis and recommendations are readily available at the fingertips, which becomes a single source of truth.

ii/ Till we reach this reality, solve these needs with an analytics services team.


2/ Co-own and improve business outcomes with data.


3/ Enhance insighting and predictive modelling capabilities to ensure that all our operations are optimized with data, insights and predictions.


4/ Evolve to an AI-first organization (from currently an AI-conscious organization) by evangelizing and delivering benefits from machine learning or AI. This would include building capabilities like personalized learning for kids, content generation with Generative AI etc.


What we are looking for


1/ Graduation from Tier 1 engineering college

2/ ~8 years of experience in BI, analytics and data science.

3/ Strong understanding of statistical modelling and machine learning techniques, and experience of using these to deliver end business impact.

4/ At some point of time in your career, hands-on experience in data manipulation languages (e.g., SQL), data visualization tools (e.g., Tableau), and data science tools (e.g., Python, R, SAS)

5/ Significant leadership experience in analytics units of a product company OR in analytics consulting engagements

6/ Excellent communication, leadership and people-management skills